Automation
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Turns Data and AI algorithms into production-ready web applications in no time.
★ 19.4k starsApache-2.0
View guide →Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
airflow is an open-source automation project by apache (apache/airflow on GitHub). It has 47,046 GitHub stars and 17,947 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 3 October 2026.
Link the services you already use through built-in integrations or generic webhooks and API calls.
Drag triggers and actions onto a canvas: when this happens, do that.
Branch on conditions, loop over items, or pipe steps through language models.
Turn the workflow on and watch executions in the run history.
Designed to run unattended: triggers, schedules, and webhooks.
Prebuilt connectors plus HTTP, webhooks, and database nodes.
Design automations on a canvas instead of writing glue code.
Retries, fallbacks, and alerts when steps fail.
Export, diff, and back up workflows like code.
The automation is free; you only pay for your own server.
Download the source and move into the project folder.
git clone https://github.com/apache/airflow.git
cd airflowEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at apache/airflow with 17,947 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Apache 2.0 licensed — commercial use allowed with attribution.
Same idea, but self-hosted with no per-task pricing.
Most flows are visual; light expressions help for advanced logic.
The core software is open-source and free to self-host; managed clouds exist if you prefer.
Turns Data and AI algorithms into production-ready web applications in no time.
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Free and open — grab the source, star the repo, and start creating.